{"id":1903887,"url":"https://alion.io/job/success-matcher-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3864750,"name":"Success Matcher","domain":"successmatcher.com","url":"https://alion.io/company/success-matcher","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T12:11:54Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-14T20:43:32Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"About the Company & Platform\nWe are a fast-growing, well-funded AI and data analytics startup ($20M raised, currently at 18 employees) building cutting-edge autonomous AI systems for enterprise marketing leaders. Our platform replaces operationally intensive data workflows by deploying agentic systems that handle complex data management, analytics, campaign generation, and measurement entirely on their own.\nEverything we build sits on top of our proprietary consumer graph-a massive identity and attribute layer covering over 270 million U.S. consumers with more than 2,000 through-time attributes. Our engineering and science team includes world-class operators and researchers from backgrounds like Citadel, Bridgewater, Meta Superintelligence, MIT, and Stanford. We count high-profile enterprises like the NBA, Capital One, the Miami Dolphins, and Ramp among our active clients.\nWhat You'll Do\nThis is a generalist role requiring a blend of data engineering fundamentals and advanced statistical thinking. You will own the full path from raw data to production-ready models running at terabyte scale.\nIdentity Resolution & Data Stitching: Clean, standardize, and stitch disparate, messy third-party data sources into unified, 360-degree consumer profiles.\n Probabilistic Modeling: Build and deploy robust estimation models (e.g., predicting income, wealth, affinities, and lookalike/propensity traits) to derive valuable consumer attributes.\nScale Pipelines: Create, refine, and maintain high-throughput feature engineering pipelines that run reliably at terabyte scale.\nAutonomous AI Integration: Ensure all model outputs are exceptionally robust and reliable, as they will be consumed autonomously by our downstream AI agents without human intervention.\nClient-Facing Solutions: Tackle end-to-end custom enterprise data science work for flagship clients, moving rapidly from messy raw data to deployed production models.\nRole Requirements\nExperience:2-10 years of applied data science experience. You must have a proven track record of shipping and deploying models directly into production environments (this is not a notebook-only or pure analysis role).\n\nTechnical Toolkit: Highly proficient in Python and SQL with the ability to write clean, production-quality code. Strong data engineering fundamentals (data modeling, pipeline construction, data cleaning).\nProblem-Solving Mindset: High intellectual horsepower. 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